The fare collection system is the major facility in railway passenger stations. The layout of the system is critical to saving of operation costs and improving of the level of service. In this paper, the methodology of microscopic simulation of passenger behavior was investigated and the simulation model of the fare collection system at a large-scale railway passenger station was established. The assessment indexes system of the fare collection system was set up and its simulation system was developed. The Beijing South Railway Station was taken as an example to carry out parameter calibration and case verification. The proposed model and system are proved to be of wide application.%本文运用旅客行为微观仿真方法,针对大型铁路客运站旅客对售票设备的使用行为进行建模,提出基于旅客行为微观仿真的售票设备评估指标体系,并建立仿真系统.最后,以北京南站为例进行模型的参数标定和实例验证,解决了车站售票设备现状评估、极限能力计算及远景数量配置等问题.仿真发现:北京南站售票设备能够满足近期和远期设计要求；现状窗口开放条件下,极限服务能力为10万人；远期所有窗口均开放时,极限服务能力为35万人.研究表明,应用旅客行为微观仿真方法较传统方法和排队论方法能够更精细刻画售票设备与旅客的相互作用、更为客观地反映评估结果,由此验证所提模型和系统具有广泛的适用性.
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